All Outputs (35)

Towards on-farm pig face recognition using convolutional neural networks (2018)
Journal Article
Baxter, E. M., Salter, M. G., Smith, L. N., Smith, M. L., Hansen, M. F., Hansen, M. F., …Grieve, B. (2018). Towards on-farm pig face recognition using convolutional neural networks. Computers in Industry, 98, 145-152. https://doi.org/10.1016/j.compind.2018.02.016

© 2018 Elsevier B.V. Identification of individual livestock such as pigs and cows has become a pressing issue in recent years as intensification practices continue to be adopted and precise objective measurements are required (e.g. weight). Current b... Read More about Towards on-farm pig face recognition using convolutional neural networks.

Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field (2018)
Journal Article
Smith, L., Zhang, W., Hansen, M. F., Hales, I., & Smith, M. (2018). Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field. Computers in Industry, 97, 122-131. https://doi.org/10.1016/j.compind.2018.02.002

© 2018 Elsevier B.V. Machine vision systems offer great potential for automating crop control, harvesting, fruit picking, and a range of other agricultural tasks. However, most of the reported research on machine vision in agriculture involves a 2D a... Read More about Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field.

Photometric stereo for three-dimensional leaf venation extraction (2018)
Journal Article
Zhang, W., Hansen, M. F., Smith, M., Smith, L., & Grieve, B. (2018). Photometric stereo for three-dimensional leaf venation extraction. Computers in Industry, 98, 56-67. https://doi.org/10.1016/j.compind.2018.02.006

© 2018 Elsevier B.V. Leaf venation extraction studies have been strongly discouraged by considerable challenges posed by venation architectures that are complex, diverse and subtle. Additionally, unpredictable local leaf curvatures, undesirable ambie... Read More about Photometric stereo for three-dimensional leaf venation extraction.

Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device (2018)
Journal Article
Hansen, M. F., Smith, M. L., Smith, L. N., Abdul Jabbar, K., & Forbes, D. (2018). Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device. Computers in Industry, 98, 14-22. https://doi.org/10.1016/j.compind.2018.02.011

© 2018 Here we propose a low-cost automated system for the unobtrusive and continuous welfare monitoring of dairy cattle on the farm. We argue that effective and regular monitoring of multiple condition traits is not currently practicable and go on t... Read More about Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device.

Locomotion traits of dairy cows from overhead three-dimensional video (2016)
Presentation / Conference
Abdul Jabbar, K., Hansen, M. F., Smith, M., & Smith, L. (2016, December). Locomotion traits of dairy cows from overhead three-dimensional video. Paper presented at Visual observation and analysis of Vertebrate And Insect Behavior (VAIB), 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico

We investigate two locomotion traits in dairy cows from overhead 3D video to observe lameness trends. Detecting lameness -particularly at an early stage- is important in order to allow early treatment which maximizes detection benefits. The proposed... Read More about Locomotion traits of dairy cows from overhead three-dimensional video.

Early and non-intrusive lameness detection in dairy cows using 3-dimensional video (2016)
Journal Article
Abdul Jabbar, K., Hansen, M. F., Smith, M. L., & Smith, L. N. (2017). Early and non-intrusive lameness detection in dairy cows using 3-dimensional video. Biosystems Engineering, 153, 63-69. https://doi.org/10.1016/j.biosystemseng.2016.09.017

© 2016 IAgrE Lameness is a major issue in dairy herds and its early and automated detection offers animal welfare benefits together with potentially high commercial savings for farmers. Current advancements in automated detection have not achieved a... Read More about Early and non-intrusive lameness detection in dairy cows using 3-dimensional video.

Overhead spine arch analysis of dairy cows from three-dimensional video (2016)
Presentation / Conference
Abdul Jabbar, K., Hansen, M. F., Smith, M., & Smith, L. (2016, October). Overhead spine arch analysis of dairy cows from three-dimensional video. Paper presented at Eighth International Conference on Graphic and Image Processing (ICGIP 2016), Tokyo, Japan

We present a spine arch analysis method in dairy cows using overhead 3D video data. This method is aimed for early stage lameness detection. That is important in order to allow early treatment; and thus, reduce the animal suffering and minimize the h... Read More about Overhead spine arch analysis of dairy cows from three-dimensional video.

Quadruped locomotion analysis using three-dimensional video (2016)
Presentation / Conference
Abdul Jabbar, K., Hansen, M. F., Smith, M., & Smith, L. (2016, October). Quadruped locomotion analysis using three-dimensional video. Paper presented at IEEE ICSAE Conference, Newcastle, UK

Abstract— To date, there has not been a single method suitable for large-scale or regular-basis implementation to analyze the locomotion of quadruped animals. Existing methods are not sensitive enough for detecting minor deviations from healthy gait... Read More about Quadruped locomotion analysis using three-dimensional video.

Non-intrusive automated measurement of dairy cow body condition using 3D video (2015)
Presentation / Conference
Hansen, M. F., Smith, M., Smith, L., & Hales, I. (2015, September). Non-intrusive automated measurement of dairy cow body condition using 3D video. Presented at British Machine Vision Conference - Workshop of Machine Vision and Animal Behaviour, Swansea, Wales, UK

Regular scoring of a dairy herd in terms of various physical metrics such as Body Condition Score (BCS), mobility and weight are essential for maintaining high animal welfare. This paper presents preliminary results of an automated system capable of... Read More about Non-intrusive automated measurement of dairy cow body condition using 3D video.

Long-range concealed object detection through active covert illumination (2015)
Journal Article
Williamson, D. R., Hales, I. J., Hansen, M. F., Broadbent, L., & Smith, M. (2015). Long-range concealed object detection through active covert illumination. Proceedings of SPIE, 9648, https://doi.org/10.1117/12.2190194

© 2015 SPIE. When capturing a scene for surveillance, the addition of rich 3D data can dramatically improve the accuracy of object detection or face recognition. Traditional 3D techniques, such as geometric stereo, only provide a coarse grained recon... Read More about Long-range concealed object detection through active covert illumination.

BRDF estimation for faces from a sparse dataset using a neural network (2013)
Presentation / Conference
Hansen, M. F., Atkinson, G., & Smith, M. (2013, August). BRDF estimation for faces from a sparse dataset using a neural network. Paper presented at Computer Analysis of Images and Patterns, CAIP 2013, York, UK

We present a novel �ve source near-infrared photometric stereo 3D face capture device. The accuracy of the system is demonstrated by a comparison with ground truth from a commercial 3D scanner. We also use the data from the �ve captured images to mo... Read More about BRDF estimation for faces from a sparse dataset using a neural network.

Face recognition and verification using photometric stereo: The photoface database and a comprehensive evaluation (2013)
Journal Article
Smith, L. N., Smith, M. L., Hansen, M. F., Atkinson, G. A., Zafeiriou, S., Atkinson, G., …Smith, L. (2013). Face recognition and verification using photometric stereo: The photoface database and a comprehensive evaluation. IEEE Transactions on Information Forensics and Security, 8(1), 121-135. https://doi.org/10.1109/TIFS.2012.2224109

This paper presents a new database suitable for both 2-D and 3-D face recognition based on photometric stereo (PS): the Photoface database. The database was collected using a custom-made four-source PS device designed to enable data capture with mini... Read More about Face recognition and verification using photometric stereo: The photoface database and a comprehensive evaluation.

The photoface database (2011)
Presentation / Conference
Zafeirou, S., Hansen, M. F., Atkinson, G., Argyriou, V., Petrou, M., Smith, M., & Smith, L. (2011, June). The photoface database. Paper presented at Biometrics Workshop of Computer Vision and Pattern Recognition, Colorado Springs, Colorado, USA

Baseline face recognition using photometric stereo data (2010)
Presentation / Conference
Zafeiriou, S., Hansen, M. F., Atkinson, G., Petrou, M., & Smith, M. (2010, September). Baseline face recognition using photometric stereo data. Paper presented at International Conference and Exhibition on Biometrics Technology, Coimbatore, Tamil Nadu, India, 2010, Coimbatore, Tamil Nadu, India

3D face reconstructions from photometric stereo using near infrared and visible light (2010)
Journal Article
Hansen, M. F., Atkinson, G., Smith, L., & Smith, M. (2010). 3D face reconstructions from photometric stereo using near infrared and visible light. Computer Vision and Image Understanding, 114(8), 942-951. https://doi.org/10.1016/j.cviu.2010.03.001

This paper seeks to advance the state-of-the-art in 3D face capture and processing via novel Photometric Stereo (PS) hardware and algorithms. The first contribution is a new high-speed 3D data capture system, which is capable of acquiring four raw im... Read More about 3D face reconstructions from photometric stereo using near infrared and visible light.